Automatic identification model of micro-earthquakes and blasting events in Laohutai coal mine based on the measurement of source parameter difference
KAUST DepartmentKing Abdullah University of Science & Technology, Earth Science & Engineering Program, Division of Physical Sciences and Engineering, Saudi Arabia.
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant NumberBAS/1/1339-01-01
Online Publication Date2021-07-20
Print Publication Date2021-11
Embargo End Date2023-07-01
Permanent link to this recordhttp://hdl.handle.net/10754/670327
MetadataShow full item record
AbstractThe micro-seismic signal of coal mine is obviously affected by blasting signal, which seriously affects the identification accuracy of micro-seismic signal. For this purpose, automated identification and discrimination methods exist to monitor seismicity occurrence. In this study, seismic source properties of blasting events and micro-earthquakes in the Laohutai coal mine are quantified to more accurately distinguish between these two types of events and to investigate potential physical differences between them. Besides examining the space-time evolution of micro-earthquakes in the Laohutai coal mine, source parameters of blasting events and micro-earthquakes (corner frequency f0; spectral level Ω0; seismic moment M0; moment magnitude Mw; source radius R; stress drop △σ; apparent stress σa, radiated seismic energy E) are determined and scaling relationships between them are investigated. Our results show that the number of micro-earthquakes is closely related to the mining activity. Source-spectral characteristics of blasting events are well described by the Brune omega-square model and follow in general the classical scaling relations (i.e. increasing seismic moment with decreasing corner frequency), like the source-spectral characteristics of micro-earthquakes. Importantly, for events of same magnitude, corner frequency and stress drop of blasting events are larger than for micro-earthquakes. This observation helps to improve automatic identification and discrimination of micro-seismic and blast events, thereby providing important information for (real-time) seismic hazard monitoring and risk management.
CitationDong, C., & Martin Mai, P. (2021). Automatic identification model of micro-earthquakes and blasting events in Laohutai coal mine based on the measurement of source parameter difference. Measurement, 109883. doi:10.1016/j.measurement.2021.109883
SponsorsThe research presented in this article is supported by King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, by grant BAS/1/1339-01-01, and carried out during C a visiting-student internship of C.D.